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A Real-Time System for Lane Detection Based on FPGA and DSP

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Abstract

This paper presents a real-time lane detection system including edge detection and improved Hough Transform based lane detection algorithm and its hardware implementation with field programmable gate array (FPGA) and digital signal processor (DSP). Firstly, gradient amplitude and direction information are combined to extract lane edge information. Then, the information is used to determine the region of interest. Finally, the lanes are extracted by using improved Hough Transform. The image processing module of the system consists of FPGA and DSP. Particularly, the algorithms implemented in FPGA are working in pipeline and processing in parallel so that the system can run in real-time. In addition, DSP realizes lane line extraction and display function with an improved Hough Transform. The experimental results show that the proposed system is able to detect lanes under different road situations efficiently and effectively.

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Acknowledgments

This paper is supported by the National Natural Science Fund of China for Distinguished Young Scholars (No. 61325007) and the National Natural Science Fund of China for International Cooperation and Exchanges (No. 61520106001).

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Authors and Affiliations

  1. College of Electrical and Information Engineering, Hunan University, Changsha, 410082, China

    Jing Xiao, Shutao Li & Bin Sun

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  1. Jing Xiao
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  2. Shutao Li
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  3. Bin Sun
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Correspondence to Shutao Li.

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Xiao, J., Li, S. & Sun, B. A Real-Time System for Lane Detection Based on FPGA and DSP. Sens Imaging 17, 6 (2016). https://doi.org/10.1007/s11220-016-0133-8

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  • DOI: https://doi.org/10.1007/s11220-016-0133-8

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